Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDYuntao Qian
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[j69]Minchao Ye
, Chenglong Wang, Zhihao Meng, Fengchao Xiong, Yuntao Qian:
Domain-invariant attention network for transfer learning between cross-scene hyperspectral images. IET Comput. Vis. 17(7): 739-749 (2023)- [j68]Ling Lei, Binqian Huang, Minchao Ye, Futian Yao, Yuntao Qian:
Cross-domain residual deep NMF for transfer learning between different hyperspectral image scenes. Int. J. Wavelets Multiresolution Inf. Process. 21(2): 2250046:1-2250046:16 (2023) - [j67]Zhijian Luo, Siyu Chen, Yueen Hou, Yanzeng Gao, Yuntao Qian:
An aggressive reduction on the complexity of optimization for non-strongly convex objectives. Int. J. Wavelets Multiresolution Inf. Process. 21(5): 2350017:1-2350017:16 (2023) - [j66]Fengchao Xiong, Jiantao Zhou, Jun Zhou, Jianfeng Lu, Yuntao Qian:
Multitask Sparse Representation Model-Inspired Network for Hyperspectral Image Denoising. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j65]Fengchao Xiong, Jun Zhou, Jiantao Zhou, Jianfeng Lu, Yuntao Qian:
Deep Parameterized Neural Networks for Hyperspectral Image Denoising. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j64]Min Ye, Bohan Li, Jie Nie, Yuntao Qian, Lie-Liang Yang:
Ca-STANet: Spatiotemporal Attention Network for Chlorophyll-a Prediction With Gap-Filled Remote Sensing Data. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [j63]Zhuanfeng Li, Fengchao Xiong, Jun Zhou, Jianfeng Lu, Yuntao Qian:
Learning a Deep Ensemble Network With Band Importance for Hyperspectral Object Tracking. IEEE Trans. Image Process. 32: 2901-2914 (2023) - [c102]Fengchao Xiong, Jun Zhou, Zhuang Zhao, Yuntao Qian:
Iterative Refinement Network for Hyperspectral Image Denoising. ICME 2023: 2753-2758 - [c101]Zhongshun Jiang, Qipeng Qian, Yi Qiu, Yuntao Qian:
Hierarchical Superpixel Relation Graph Combined with Convolutional Sparse Coding for Self-Supervised Hyperspectral Image Denoising. IGARSS 2023: 5379-5382 - [c100]Tianhan Li, Fengchao Xiong, Wenbin Zheng, Zhuanfeng Li, Jun Zhou, Yuntao Qian:
Wavelet Siamese Network for Change Detection in Remote Sensing Images. IGARSS 2023: 5455-5458 - [c99]Yushan Li, Minchao Ye, Yuntao Qian, Qipeng Qian:
Cross-Domain Hyperspectral Image Classification Based on Graph Convolutional Networks. IGARSS 2023: 5974-5977 - [c98]Yang Chu, Peng Wang, Yuntao Qian:
Incremental Learning of Remote Sensing Target Classification with Class Hierarchy. IGARSS 2023: 6254-6257 - [c97]Keli Deng, Zhongshun Jiang, Qipeng Qian, Yi Qiu, Yuntao Qian:
A Noise-Model-Free Hyperspectral Image Denoising Method Based on Diffusion Model. IGARSS 2023: 7308-7311 - [c96]Jiawei Ling, Minchao Ye, Yuntao Qian, Qipeng Qian:
Cross-Domain Hyperspectral Image Classification Based on Transformer. IGARSS 2023: 7629-7632 - [i15]Peng Wang, Fanwei Zeng, Yuntao Qian:
A Survey on Deep Learning-based Spatio-temporal Action Detection. CoRR abs/2308.01618 (2023) - 2022
- [j62]Ling Chen, Jun Cui, Xing Tang, Yuntao Qian, Yansheng Li, Yongjun Zhang:
RLPath: a knowledge graph link prediction method using reinforcement learning based attentive relation path searching and representation learning. Appl. Intell. 52(4): 4715-4726 (2022) - [j61]Qian Xu, Jinshan Pan, Yuntao Qian:
Learning an Occlusion-Aware Network for Video Deblurring. IEEE Trans. Circuits Syst. Video Technol. 32(7): 4312-4323 (2022) - [j60]Qian Xu, Yuntao Qian:
Bidirectional Transformer for Video Deblurring. IEEE Trans. Circuits Syst. Video Technol. 32(12): 8450-8461 (2022) - [j59]Jingzhou Chen, Yuntao Qian:
Hierarchical Multilabel Ship Classification in Remote Sensing Images Using Label Relation Graphs. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j58]Jingzhou Chen, Shihao Wang, Ling Chen, Haibin Cai, Yuntao Qian:
Incremental Detection of Remote Sensing Objects With Feature Pyramid and Knowledge Distillation. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j57]Guanyiman Fu, Fengchao Xiong, Jianfeng Lu, Jun Zhou, Yuntao Qian:
Nonlocal Spatial-Spectral Neural Network for Hyperspectral Image Denoising. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j56]Yuntao Qian, Honglin Zhu, Ling Chen, Jun Zhou:
Hyperspectral Image Restoration With Self-Supervised Learning: A Two-Stage Training Approach. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j55]Fengchao Xiong, Jun Zhou, Qinling Zhao, Jianfeng Lu, Yuntao Qian:
MAC-Net: Model-Aided Nonlocal Neural Network for Hyperspectral Image Denoising. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j54]Fengchao Xiong, Jun Zhou, Shuyin Tao, Jianfeng Lu, Yuntao Qian:
SNMF-Net: Learning a Deep Alternating Neural Network for Hyperspectral Unmixing. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j53]Minchao Ye, Junbin Chen, Fengchao Xiong, Yuntao Qian:
Learning a Deep Structural Subspace Across Hyperspectral Scenes With Cross-Domain VAE. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j52]Suhad Lateef Al-Khafaji, Jun Zhou, Xiao Bai, Yuntao Qian, Alan Wee-Chung Liew:
Spectral-Spatial Boundary Detection in Hyperspectral Images. IEEE Trans. Image Process. 31: 499-512 (2022) - [j51]Fengchao Xiong, Jun Zhou, Shuyin Tao, Jianfeng Lu, Jiantao Zhou, Yuntao Qian:
SMDS-Net: Model Guided Spectral-Spatial Network for Hyperspectral Image Denoising. IEEE Trans. Image Process. 31: 5469-5483 (2022) - [j50]Peng Wang, Jun Wen, Chenyang Si, Yuntao Qian, Liang Wang:
Contrast-Reconstruction Representation Learning for Self-Supervised Skeleton-Based Action Recognition. IEEE Trans. Image Process. 31: 6224-6238 (2022) - [j49]Ling Chen, Xing Tang, Weiqi Chen, Yuntao Qian, Yansheng Li, Yongjun Zhang:
DACHA: A Dual Graph Convolution Based Temporal Knowledge Graph Representation Learning Method Using Historical Relation. ACM Trans. Knowl. Discov. Data 16(3): 46:1-46:18 (2022) - [c95]Jingzhou Chen, Peng Wang, Jian Liu, Yuntao Qian:
Label Relation Graphs Enhanced Hierarchical Residual Network for Hierarchical Multi-Granularity Classification. CVPR 2022: 4848-4857 - [c94]Fengchao Xiong, Minchao Ye, Jun Zhou, Jianfeng Lu, Yuntao Qian:
Multitask Sparse Neural Network for Hyperspectral Image Denoising. ICASSP 2022: 2799-2803 - [c93]Zhuanfeng Li, Fengchao Xiong, Jianfeng Lu, Jun Zhou, Yuntao Qian:
Material-Guided Siamese Fusion Network for Hyperspectral Object Tracking. ICASSP 2022: 2809-2813 - [c92]Fengchao Xiong, Minchao Ye, Jun Zhou, Yuntao Qian:
Spatial-Spectral Convolutional Sparse Neural Network for Hyperspectral Image Denoising. IGARSS 2022: 1225-1228 - [c91]Chenglong Wang, Minchao Ye, Ling Lei, Fengchao Xiong, Yuntao Qian:
Cross-Domain Attention Network for Hyperspectral Image Classification. IGARSS 2022: 1564-1567 - [c90]Honglin Zhu, Minchao Ye, Yi Qiu, Yuntao Qian:
Self-Supervised Learning Hyperspectral Image Denoiser with Separated Spectral-Spatial Feature Extraction. IGARSS 2022: 1748-1751 - [c89]Zhongshun Jiang, Honglin Zhu, Yi Qiu, Yuntao Qian:
A Self-Supervised Hyperspectral Image Restoration Method Based on Convolutional Sparse Coding and Superpixel Segmentation. IGARSS 2022: 1760-1763 - [c88]Zhihao Meng, Minchao Ye, Futian Yao, Fengchao Xiong, Yuntao Qian:
Cross-Scene Hyperspectral Image Classification Based on Cycle-Consistent Adversarial Networks. IGARSS 2022: 1912-1915 - [c87]Yang Chu, Minchao Ye, Yuntao Qian:
Incorporating Attention Mechanism And Graph Regularization Into Cnns For Hyperspectral Image Classification. WHISPERS 2022: 1-5 - [i14]Jingzhou Chen, Peng Wang, Jian Liu, Yuntao Qian:
Label Relation Graphs Enhanced Hierarchical Residual Network for Hierarchical Multi-Granularity Classification. CoRR abs/2201.03194 (2022) - [i13]Peng Wang, Jingzhou Chen, Yuntao Qian:
Semantic Guided Level-Category Hybrid Prediction Network for Hierarchical Image Classification. CoRR abs/2211.12277 (2022) - 2021
- [j48]Zhijian Luo, Siyu Chen, Yuntao Qian, Yueen Hou:
Multi-stage stochastic gradient method with momentum acceleration. Signal Process. 188: 108201 (2021) - [j47]Jianxi Wang, Minchao Ye, Fengchao Xiong, Yuntao Qian:
Cross-Scene Hyperspectral Feature Selection via Hybrid Whale Optimization Algorithm With Simulated Annealing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 2473-2483 (2021) - [j46]Chengjie Zhang, Minchao Ye, Ling Lei, Yuntao Qian:
Feature Selection for Cross-Scene Hyperspectral Image Classification Using Cross-Domain I-ReliefF. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 5932-5949 (2021) - [c86]Shide Zou, Fengchao Xiong, Haonan Luo, Jianfeng Lu, Yuntao Qian:
AF-Net: All-scale Feature Fusion Network for Road Extraction from Remote Sensing Images. DICTA 2021: 1-8 - [c85]Fengchao Xiong, Jun Zhou, Minchao Ye, Jianfeng Lu, Yuntao Qian:
NMF-SAE: An Interpretable Sparse Autoencoder for Hyperspectral Unmixing. ICASSP 2021: 1865-1869 - [c84]Xiaotian Fan, Jingzhou Chen, Yuntao Qian:
Graph Regularized Autoencoder Based Feature Extraction for Hyperspectral Image Classification. IGARSS 2021: 2166-2169 - [c83]Guanyiman Fu, Fengchao Xiong, Shuyin Tao, Jianfeng Lu, Jun Zhou, Yuntao Qian:
Learning a Model-Based Deep Hyperspectral Denoiser from a Single Noisy Hyperspectral Image. IGARSS 2021: 4131-4134 - [c82]Jingzhou Chen, Yuntao Qian:
Hierarchical Multi-Label Ship Recognition in Remote Sensing Images Using Label Relation Graphs. IGARSS 2021: 4968-4971 - [c81]Ling Lei, Binqian Huang, Minchao Ye, Hong Chen, Yuntao Qian:
A Graph-Regularized Non-local Hyperspectral Image Denoising Method. ISGV 2021: 327-340 - [c80]Jiongye Zhu, Xiaohan Wang, Ling Lei, Minchao Ye, Yuntao Qian:
Random Convolutional Network for Hyperspectral Image Classification. ISGV 2021: 341-353 - [c79]Zhuanfeng Li, Xinhai Ye, Fengchao Xiong, Jianfeng Lu, Jun Zhou, Yuntao Qian:
Spectral-Spatial-Temporal Attention Network for Hyperspectral Tracking. WHISPERS 2021: 1-5 - [i12]Ling Chen, Jiahui Xu, Binqing Wu, Yuntao Qian, Zhenhong Du, Yansheng Li, Yongjun Zhang:
Group-Aware Graph Neural Network for Nationwide City Air Quality Forecasting. CoRR abs/2108.12238 (2021) - [i11]Ling Chen, Jun Cui, Xing Tang, Chaodu Song, Yuntao Qian, Yansheng Li, Yongjun Zhang:
RMNA: A Neighbor Aggregation-Based Knowledge Graph Representation Learning Model Using Rule Mining. CoRR abs/2111.00658 (2021) - [i10]Peng Wang, Jun Wen, Chenyang Si, Yuntao Qian, Liang Wang:
Contrast-reconstruction Representation Learning for Self-supervised Skeleton-based Action Recognition. CoRR abs/2111.11051 (2021) - 2020
- [j45]Minchao Ye, Chenxi Ji, Hong Chen, Ling Lei, Huijuan Lu, Yuntao Qian:
Residual deep PCA-based feature extraction for hyperspectral image classification. Neural Comput. Appl. 32(18): 14287-14300 (2020) - [j44]Xinhai Ye, Fengchao Xiong, Jianfeng Lu, Jun Zhou, Yuntao Qian:
ℱ3-Net: Feature Fusion and Filtration Network for Object Detection in Optical Remote Sensing Images. Remote. Sens. 12(24): 4027 (2020) - [j43]Hong Chen, Minchao Ye, Ling Lei, Huijuan Lu, Yuntao Qian:
Semisupervised Dual-Dictionary Learning for Heterogeneous Transfer Learning on Cross-Scene Hyperspectral Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 3164-3178 (2020) - [j42]Wenhong Wang, Yuntao Qian, Hongfu Liu:
Multiple Clustering Guided Nonnegative Matrix Factorization for Hyperspectral Unmixing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 5162-5179 (2020) - [j41]Fengchao Xiong, Jun Zhou, Jianfeng Lu, Yuntao Qian:
Nonconvex Nonseparable Sparse Nonnegative Matrix Factorization for Hyperspectral Unmixing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 6088-6100 (2020) - [j40]Yuntao Qian, Fengchao Xiong, Qipeng Qian, Jun Zhou:
Spectral Mixture Model Inspired Network Architectures for Hyperspectral Unmixing. IEEE Trans. Geosci. Remote. Sens. 58(10): 7418-7434 (2020) - [j39]Fengchao Xiong, Jun Zhou, Yuntao Qian:
Material Based Object Tracking in Hyperspectral Videos. IEEE Trans. Image Process. 29: 3719-3733 (2020) - [c78]Zhuanfeng Li, Fengchao Xiong, Jun Zhou, Jing Wang, Jianfeng Lu, Yuntao Qian:
BAE-Net: A Band Attention Aware Ensemble Network for Hyperspectral Object Tracking. ICIP 2020: 2106-2110 - [c77]Qian Zhong, Ling Chen, Yuntao Qian:
Few-Shot Learning for Remote Sensing Image Retrieval With MAML. ICIP 2020: 2446-2450 - [c76]Hong Chen, Kewei Gong, Ling Lei, Minchao Ye, Yuntao Qian:
Multi-layer Cross-domain Non-negative Matrix Factorization for Cross-scene Dimension Reduction on Hyperspectral Images. ICPRAI 2020: 547-554 - [c75]Yingyu Diao, Jingzhou Chen, Yuntao Qian:
Multi-Label Remote Sensing Image Classification with Deformable Convolutions and Graph Neural Networks. IGARSS 2020: 521-524 - [c74]Fengchao Xiong, Kun Qian, Jianfeng Lu, Jun Zhou, Yuntao Qian:
Nonlocal Low-Rank Nonnegative Tensor Factorization for Hyperspectral Unmixing. IGARSS 2020: 2157-2160 - [i9]Fengchao Xiong, Jun Zhou, Jianfeng Lu, Yuntao Qian:
SMDS-Net: Model Guided Spectral-Spatial Network for Hyperspectral Image Denoising. CoRR abs/2012.01829 (2020)
2010 – 2019
- 2019
- [j38]Jingzhou Chen, Siyu Chen, Peilin Zhou, Yuntao Qian:
Deep Neural Network Based Hyperspectral Pixel Classification With Factorized Spectral-Spatial Feature Representation. IEEE Access 7: 81407-81418 (2019) - [j37]Zhijian Luo, Siyu Chen, Yuntao Qian:
Stochastic Momentum Method With Double Acceleration for Regularized Empirical Risk Minimization. IEEE Access 7: 166551-166563 (2019) - [j36]Minchao Ye, Yongqiu Xu, Chenxi Ji, Hong Chen, Huijuan Lu, Yuntao Qian:
Feature selection for cross-scene hyperspectral image classification using cross-domain ReliefF. Int. J. Wavelets Multiresolution Inf. Process. 17(5): 1950039:1-1950039:17 (2019) - [j35]Zhijian Luo, Yuntao Qian:
Stochastic sub-sampled Newton method with variance reduction. Int. J. Wavelets Multiresolution Inf. Process. 17(6): 1950041:1-1950041:23 (2019) - [j34]Zhijian Luo, Siyu Chen, Yuntao Qian:
Learning deep optimizer for blind image deconvolution. Int. J. Wavelets Multiresolution Inf. Process. 17(6): 1950044:1-1950044:24 (2019) - [j33]Danping Liao, Yuntao Qian:
Paper evolution graph: multi-view structural retrieval for academic literature. Frontiers Inf. Technol. Electron. Eng. 20(2): 187-205 (2019) - [j32]Fengchao Xiong, Yuntao Qian, Jun Zhou, Yuan Yan Tang:
Hyperspectral Unmixing via Total Variation Regularized Nonnegative Tensor Factorization. IEEE Trans. Geosci. Remote. Sens. 57(4): 2341-2357 (2019) - [j31]Fengchao Xiong, Jun Zhou, Yuntao Qian:
Hyperspectral Restoration via L0 Gradient Regularized Low-Rank Tensor Factorization. IEEE Trans. Geosci. Remote. Sens. 57(12): 10410-10425 (2019) - [c73]Minchao Ye, Hong Chen, Chenxi Ji, Ling Lei, Yuntao Qian:
Spectral-Spatial Joint Noise Estimation for Hyperspectral Images. IGARSS 2019: 230-233 - [c72]Chenxi Ji, Minchao Ye, Huijuan Lu, Futian Yao, Yuntao Qian:
Feature Extraction of Hyperspectral Imagery Based on Deep NMF. IGARSS 2019: 1092-1095 - [c71]Hong Chen, Minchao Ye, Huijuan Lu, Ling Lei, Yuntao Qian:
Dual Dictionary Learning for Mining a Unified Feature Subspace between Different Hyperspectral Image Scenes. IGARSS 2019: 1096-1099 - [c70]Fengchao Xiong, Jun Zhou, Jocelyn Chanussot, Yuntao Qian:
Dynamic Material-Aware Object Tracking in Hyperspectral Videos. WHISPERS 2019: 1-6 - [i8]Jingzhou Chen, Siyu Chen, Peilin Zhou, Yuntao Qian:
Deep Neural Network Based Hyperspectral Pixel Classification With Factorized Spectral-Spatial Feature Representation. CoRR abs/1904.07461 (2019) - [i7]Zhijian Luo, Siyu Chen, Yuntao Qian:
A Deep Optimization Approach for Image Deconvolution. CoRR abs/1904.07516 (2019) - 2018
- [j30]Danping Liao, Yuntao Qian, Yuan Yan Tang:
Constrained Manifold Learning for Hyperspectral Imagery Visualization. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(4): 1213-1226 (2018) - [j29]Minchao Ye, Yuntao Qian, Jun Zhou, Yuan Yan Tang:
Corrections to "Dictionary Learning-Based Feature-Level Domain Adaptation for Cross-Scene Hyperspectral Image Classification". IEEE Trans. Geosci. Remote. Sens. 56(5): 3002-3003 (2018) - [c69]Fengchao Xiong, Jun Zhou, Yuntao Qian:
Hyperspectral Imagery Denoising via Reweighed Sparse Low-Rank Nonnegative Tensor Factorization. ICIP 2018: 3219-3223 - [c68]Danping Liao, Siyu Chen, Yuntao Qian:
Visualization of Hyperspectral Images Using Moving Least Squares. ICPR 2018: 2851-2856 - [c67]Wei Zhang, Shihao Wang, Sophanyouly Thachan, Jingzhou Chen, Yuntao Qian:
Deconv R-CNN for Small Object Detection on Remote Sensing Images. IGARSS 2018: 2483-2486 - [c66]Minchao Ye, Yongqiu Xu, Huijuan Lu, Ke Yan, Yuntao Qian:
Cross-Scene Feature Selection for Hyperspectral Images Based on Cross-Domain Information Gain. IGARSS 2018: 4764-4767 - [c65]Jingzhou Chen, Wei Zhang, Yuntao Qian, Minchao Ye:
Deep Tensor Factorization for Hyperspectral Image Classification. IGARSS 2018: 4788-4791 - [c64]Fengchao Xiong, Jingzhou Chen, Jun Zhou, Yuntao Qian:
Superpixel-Based Nonnegative Tensor Factorization for Hyperspectral Unmixing. IGARSS 2018: 6392-6395 - [c63]Siyu Chen, Danping Liao, Yuntao Qian:
Spectral Image Visualization Using Generative Adversarial Networks. PRICAI (1) 2018: 388-401 - [i6]Danping Liao, Siyu Chen, Yuntao Qian:
Visualization of Hyperspectral Images Using Moving Least Squares. CoRR abs/1801.06635 (2018) - [i5]Siyu Chen, Danping Liao, Yuntao Qian:
Spectral Image Visualization Using Generative Adversarial Networks. CoRR abs/1802.02290 (2018) - [i4]Fengchao Xiong, Jun Zhou, Kun Qian, Yuntao Qian:
Spectral-spatial features for material based object tracking in hyperspectral videos. CoRR abs/1812.04179 (2018) - 2017
- [j28]Reehan Ali Shah, Yuntao Qian, Dileep Kumar, Munwar Ali, Muhammad Bux Alvi:
Network Intrusion Detection through Discriminative Feature Selection by Using Sparse Logistic Regression. Future Internet 9(4): 81 (2017) - [j27]Minchao Ye, Wenbin Zheng, Huijuan Lu, Xianting Zeng, Yuntao Qian:
Cross-scene hyperspectral image classification based on DWT and manifold-constrained subspace learning. Int. J. Wavelets Multiresolution Inf. Process. 15(6): 1750062:1-1750062:16 (2017) - [j26]Changhong Liu, Jun Zhou, Jie Liang, Yuntao Qian, Hanxi Li, Yongsheng Gao:
Exploring Structural Consistency in Graph Regularized Joint Spectral-Spatial Sparse Coding for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(3): 1151-1164 (2017) - [j25]Lei Tong, Jun Zhou, Xue Li, Yuntao Qian, Yongsheng Gao:
Region-Based Structure Preserving Nonnegative Matrix Factorization for Hyperspectral Unmixing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(4): 1575-1588 (2017) - [j24]Jie Liang, Jun Zhou, Yuntao Qian, Lian Wen, Xiao Bai, Yongsheng Gao:
On the Sampling Strategy for Evaluation of Spectral-Spatial Methods in Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 55(2): 862-880 (2017) - [j23]Minchao Ye, Yuntao Qian, Jun Zhou, Yuan Yan Tang:
Dictionary Learning-Based Feature-Level Domain Adaptation for Cross-Scene Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 55(3): 1544-1562 (2017) - [j22]Yuntao Qian, Fengchao Xiong, Shan Zeng, Jun Zhou, Yuan Yan Tang:
Matrix-Vector Nonnegative Tensor Factorization for Blind Unmixing of Hyperspectral Imagery. IEEE Trans. Geosci. Remote. Sens. 55(3): 1776-1792 (2017) - [i3]Danping Liao, Yuntao Qian:
Paper evolution graph: Multi-view structural retrieval for academic literature. CoRR abs/1711.08913 (2017) - [i2]Danping Liao, Yuntao Qian, Yuan Yan Tang:
Constrained Manifold Learning for Hyperspectral Imagery Visualization. CoRR abs/1712.01657 (2017) - 2016
- [j21]Xianbao Wang, Wenxiu He, Xingang Wang, Minghai Yao, Yuntao Qian:
基于堆叠降噪自动编码器的胶囊缺陷检测方法 (Capsule Defects Detection Based on Stacked Denoising Autoencoders). 计算机科学 43(2): 64-67 (2016) - [j20]Bin Ju, Yuntao Qian, Minchao Ye:
Preference transfer model in collaborative filtering for implicit data. Frontiers Inf. Technol. Electron. Eng. 17(6): 489-500 (2016) - [j19]Wenhong Wang, Yuntao Qian, Yuan Yan Tang:
Hypergraph-Regularized Sparse NMF for Hyperspectral Unmixing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(2): 681-694 (2016) - [j18]Danping Liao, Yuntao Qian, Jun Zhou, Yuan Yan Tang:
A Manifold Alignment Approach for Hyperspectral Image Visualization With Natural Color. IEEE Trans. Geosci. Remote. Sens. 54(6): 3151-3162 (2016) - [j17]Lei Tong, Jun Zhou, Yuntao Qian, Xiao Bai, Yongsheng Gao:
Nonnegative-Matrix-Factorization-Based Hyperspectral Unmixing With Partially Known Endmembers. IEEE Trans. Geosci. Remote. Sens. 54(11): 6531-6544 (2016) - [c62]Reehan Ali Shah, Yuntao Qian, Ghulam Mahdi:
Group Feature Selection via Structural Sparse Logistic Regression for IDS. HPCC/SmartCity/DSS 2016: 594-600 - [c61]Danping Li